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An Experiment to Analyze the Use of Process Modeling Guidelines to Create High-Quality Process Models

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Database and Expert Systems Applications (DEXA 2019)

Abstract

Process modeling guidelines are an essential tool to help process modelers to create models that are correct and easy to understand. Many guidelines have been proposed in the literature, but there is little empirical evidence to which extent guidelines are effectively used. This paper addresses this research gap by presenting the results of a semi-controlled experiment conducted on two occasions with 21 students from a Business Process Management course. Two successive process modeling tasks were compared, one before and one after the subjects were presented to a set of 20 guidelines, which were collected through a systematic literature review. From the results obtained with the experiment, it was observed that the subjects would be more receptive to the guidelines if they were easier to understand and use.

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Notes

  1. 1.

    www.bizagi.com/en/products/bpm-suite/modeler.

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Acknowledgments

This study was financed by the CNPq - Brazil and CAPES - Brazil - Finance Code 001. Diego Toralles Avila is a CAPES scholarship holder. Lucineia Heloisa Thom is a CAPES scholarship holder, Program Professor Visitante no Exterior, Process Number: 88881.172071/2018-0. We also acknowledge the Graduate Program in Computer Science as well as the Institute of Informatics, UFRGS. Marcelo Fantinato is funded by Fapesp, Brazil (grant number: 2017/26491-1).

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Correspondence to Lucineia Heloisa Thom .

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Avila, D.T., Cigana, R.P., Fantinato, M., Reijers, H.A., Mendling, J., Thom, L.H. (2019). An Experiment to Analyze the Use of Process Modeling Guidelines to Create High-Quality Process Models. In: Hartmann, S., Küng, J., Chakravarthy, S., Anderst-Kotsis, G., Tjoa, A., Khalil, I. (eds) Database and Expert Systems Applications. DEXA 2019. Lecture Notes in Computer Science(), vol 11707. Springer, Cham. https://doi.org/10.1007/978-3-030-27618-8_10

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  • DOI: https://doi.org/10.1007/978-3-030-27618-8_10

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